Publications

Our publications by year:

Abedin, A., M. Ehsanpour, Q. Shi, H. Rezatofighi, and D. C. Ranasinghe. "Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors." 10.1145/3448083. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 1 (2021): 1-22.

Anderson, L., H. Thomas, and A. Van Den Hengel. "Laurie Anderson, Norton Lecture, Spending the War without You, "Rocks"." Mahindra Humanities Center, Harvard University, ( 2021).

Anderson, L., A. Van Den Hengel, J. Sherrah, and B. Ward. "Ai Bible (Working Title)." Smithsonian Museum, Washington, DC: LAURIE ANDERSON, (2021) .

Ang, T. L., and G. Carneiro. "Artificial Intelligence in Gastrointestinal Endoscopy." 10.1111/jgh.15344. Journal of Gastroenterology and Hepatology (Australia) 36, no. 1 (2021): 5-6.

Banach, A., M. Strydom, A. Jaiprakash, G. Carneiro, A. Eriksson, R. Crawford, and A. McFadyen. "Visual Localisation for Knee Arthroscopy." 10.1007/s11548-021-02444-8. International Journal of Computer Assisted Radiology and Surgery  ( 2021).

Bedrikovetski, S., N. N. Dudi-Venkata, H. M. Kroon, W. Seow, R. Vather, G. Carneiro, J. W. Moore, and T. Sammour. "Artificial Intelligence for Pre-Operative Lymph Node Staging in Colorectal Cancer: A Systematic Review and Meta-Analysis." 10.1186/s12885-021-08773-w. BMC Cancer 21, no. 1 (2021/12/01/ 2021).

Bedrikovetski, S., N. N. Dudi-Venkata, G. Maicas, H. M. Kroon, W. Seow, G. Carneiro, J. W. Moore, and T. Sammour. "Artificial Intelligence for the Diagnosis of Lymph Node Metastases in Patients with Abdominopelvic Malignancy: A Systematic Review and Meta-Analysis." 10.1016/j.artmed.2021.102022. Artificial Intelligence in Medicine 113, no. ARTN 102022 (2021): 102022-1-22-11.

Bian, J. W., H. Zhan, N. Wang, Z. Li, L. Zhang, C. Shen, M. M. Cheng, and I. Reid. "Unsupervised Scale-Consistent Depth Learning from Video." 10.1007/s11263-021-01484-6. International Journal of Computer Vision  (2021/01/).

Bordin, V., I. Bertani, I. Mattioli, V. Sundaresan, P. McCarthy, S. Suri, E. Zsoldos, et al. "Integrating Large-Scale Neuroimaging Research Datasets: Harmonisation of White Matter Hyperintensity Measurements across Whitehall and Uk Biobank Datasets." 10.1016/j.neuroimage.2021.118189. NeuroImage 237, no. 118189 (2021/08/15): 118189.

Boyd, C., G. Brown, T. Kleinig, J. Dawson, M. D. McDonnell, M. Jenkinson, and E. Bezak. "Machine Learning Quantitation of Cardiovascular and Cerebrovascular Disease: A Systematic Review of Clinical Applications." 10.3390/diagnostics11030551. Diagnostics 11, no. 3 (2021): 1-23.

Chin, T. J., D. Suter, S. F. Ch’ng, and J. Quach. "Quantum Robust Fitting." 10.1007/978-3-030-69525-5_29. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12622 LNCS (2021/01): 485-99.

Chojnacki, W. "A Note on Crossed Products." 10.1016/j.exmath.2019.08.001. Expositiones Mathematicae 39, no. 1 (2021):115-28.https://doi.org/10.1016/j.exmath.2019.08.001.

Dai, Y., H. Lu, and C. Shen. "Towards Light-Weight Portrait Matting Via Parameter Sharing." 10.1111/cgf.14179. Computer Graphics Forum 40, no. 1 (2021/02): 151-64.

Dancette, C., R. Cadène, D. Teney, and M. Cord. "Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering." CoRR abs/2104.03149 (2021).

David, R., R. J. D. Menezes, J. De Klerk, I. R. Castleden, C. M. Hooper, G. Carneiro, and M. Gilliham. "Identifying Protein Subcellular Localisation in Scientific Literature Using Bidirectional Deep Recurrent Neural Network." 10.1038/s41598-020-80441-8. Scientific Reports 11, no. 1 (2021): 1-11.

Dendorfer, P., A. Os̆ep, A. Milan, K. Schindler, D. Cremers, I. Reid, S. Roth, and L. Leal-Taixé. "Motchallenge: A Benchmark for Single-Camera Multiple Target Tracking." 10.1007/s11263-020-01393-0. International Journal of Computer Vision 129, no. 4 (2021/04/ ): 845-81.

Dinsdale, N. K., E. Bluemke, S. M. Smith, Z. Arya, D. Vidaurre, M. Jenkinson, and A. I. L. Namburete. "Learning Patterns of the Ageing Brain in Mri Using Deep Convolutional Networks." 10.1016/j.neuroimage.2020.117401. NeuroImage 224, no. 117401 (2021): 1-16.

Dinsdale, N. K., M. Jenkinson, and A. I. L. Namburete. "Deep Learning-Based Unlearning of Dataset Bias for Mri Harmonisation and Confound Removal." 10.1016/j.neuroimage.2020.117689. NeuroImage 228, no. 117689 (2021): 1-16.

Doan, A. D., Y. Latif, T. J. Chin, Y. Liu, S. F. Ch’ng, T. T. Do, and I. Reid. "Visual Localization under Appearance Change: Filtering Approaches." 10.1007/s00521-020-05339-y. Neural Computing and Applications 33, no. 13 (2021/07): 7325-38.

Doan, A. D., Y. Latif, T. J. Chin, and I. Reid. "Hm⁴: Hidden Markov Model with Memory Management for Visual Place Recognition." 10.1109/lra.2020.3036615. IEEE Robotics and Automation Letters 6, no. 1 (2021): 167-74.

Dong, G., Y. Yan, C. Shen, and H. Wang. "Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes." 10.1109/tits.2020.2980426. IEEE Transactions on Intelligent Transportation Systems 22, no. 6 (2021): 3258-74.

Eriksson, A., C. Olsson, F. Kahl, and T. J. Chin. "Rotation Averaging with the Chordal Distance: Global Minimizers and Strong Duality." 10.1109/TPAMI.2019.2930051. IEEE Transactions on Pattern Analysis and Machine Intelligence 43, no. 1 (2021/01): 256-68.

Fouladzadeh, A., M. Dorraki, K. K. M. Min, M. P. Cockshell, E. J. Thompson, J. W. Verjans, A. Allison, C. S. Bonder, and D. Abbott. "The Development of Tumour Vascular Networks." 10.1038/s42003-021-02632-x. Communications Biology 4, no. 1 (2021/12/).. 

Ghassemzadeh, S., M. Gonzalez Perdomo, M. Haghighi, and E. Abbasnejad. "A Data-Driven Reservoir Simulation for Natural Gas Reservoirs." 10.1007/s00521-021-05886-y. Neural Computing and Applications  (2021/01).

Hajdu, T., L. Anderson, A. Van Den Hengel, J. Sherrah, and B. Ward. "Untitled Work." Charles Eliot Norton Lectures. Harvard University: Harvard University, (2021).

Hajdu, T., A. Van Den Hengel, J. Sherrah, P. Dalby, and J. Verjans. "Adelaide Festival of Ideas: Art of Artificial Intelligence." In Elder Hall Adelaide:(2021).

Hermoza, R., G. Maicas, J. C. Nascimento, and G. Carneiro. "Post-Hoc Overall Survival Time Prediction from Brain Mri." 10.1109/ISBI48211.2021.9433877. Proceedings - International Symposium on Biomedical Imaging 2021-April (2021/04): 1476-80..

Hirschfeld, C. B., L. J. Shaw, M. C. Williams, R. Lahey, T. C. Villines, S. Dorbala, A. D. Choi, et al. "Impact of Covid-19 on Cardiovascular Testing in the United States Versus the Rest of the World." 10.1016/j.jcmg.2021.03.007. JACC: Cardiovascular Imaging 14, no. 9 (2021/09): 1787-99.

Hordacre, B., M. Lotze, M. Jenkinson, A. Lazari, C. D. Barras, L. Boyd, and S. Hillier. "Fronto-Parietal Involvement in Chronic Stroke Motor Performance When Corticospinal Tract Integrity Is Compromised." 10.1016/j.nicl.2021.102558. NeuroImage: Clinical 29, no. 102558 (2021): 1-11.. 

Hu, Y., Z. Zhang, Y. Yao, X. Huyan, X. Zhou, and W. S. Lee. "A Bidirectional Graph Neural Network for Traveling Salesman Problems on Arbitrary Symmetric Graphs." 10.1016/j.engappai.2020.104061. Engineering Applications of Artificial Intelligence 97, no. 104061 (2021/01): 104061-61..

Juryńczyk, M., E. Klimiec-Moskal, Y. Kong, S. Hurley, S. Messina, T. Yeo, M. Jenkinson, M. I. Leite, and J. Palace. "Elucidating Distinct Clinico-Radiologic Signatures in the Borderland between Neuromyelitis Optica and Multiple Sclerosis." 10.1007/s00415-021-10619-1. Journal of Neurology  (2021/01)..

Kang, L., J. Liu, L. Liu, Z. Zhou, and D. Ye. "Semi-Supervised Emotion Recognition in Textual Conversation Via a Context-Augmented Auxiliary Training Task." 10.1016/j.ipm.2021.102717. Information Processing and Management 58, no. 6 (2021/11): 1-13. 

Kong, C., and S. Lucey. "Deep Non-Rigid Structure from Motion with Missing Data." 10.1109/TPAMI.2020.2997026. IEEE Transactions on Pattern Analysis and Machine Intelligence 43, no. 12 (2021): 4365-77.

Kuang, B., G. Pena, Z. Szpak, S. Edwards, R. Battersby, P. Cowled, J. Dawson, and R. Fitridge. "Assessment of a Smartphone-Based Application for Diabetic Foot Ulcer Measurement." 10.1111/wrr.12905. Wound Repair and Regeneration 29, no. 3 (2021): 460-65.

Lassance, C., Y. Latif, R. Garg, V. Gripon, and I. Reid. "Improved Visual Localization Via Graph Filtering." 10.3390/jimaging7020020. Journal of Imaging 7, no. 2 (2021/02): 20-20.

Le, H., T. J. Chin, A. Eriksson, T. T. Do, and D. Suter. "Deterministic Approximate Methods for Maximum Consensus Robust Fitting." 10.1109/TPAMI.2019.2939307. IEEE Transactions on Pattern Analysis and Machine Intelligence 43, no. 3 (2021): 842-57.

Lei, Y., Y. Liu, P. Zhang, and L. Liu. "Towards Using Count-Level Weak Supervision for Crowd Counting." 10.1016/j.patcog.2020.107616. Pattern Recognition 109, no. ARTN 107616 (2021): 1-13.

Li, J., N. J. Montarello, A. Hoogendoorn, J. W. Verjans, C. A. Bursill, K. Peter, S. J. Nicholls, R. A. McLaughlin, and P. J. Psaltis. "Multimodality Intravascular Imaging of High-Risk Coronary Plaque." 10.1016/j.jcmg.2021.03.028. JACC: Cardiovascular Imaging  (2021/01).

Li, K., H. Rezatofighi, and I. Reid. "Moltr: Multiple Object Localization, Tracking and Reconstruction from Monocular Rgb Videos." 10.1109/LRA.2021.3061080. IEEE Robotics and Automation Letters 6, no. 2 (2021/04): 3341-48.

Liu, Y., T. He, H. Chen, X. Wang, C. Luo, S. Zhang, C. Shen, and L. Jin. "Exploring the Capacity of an Orderless Box Discretization Network for Multi-Orientation Scene Text Detection." 10.1007/s11263-021-01459-7. International Journal of Computer Vision 129, no. 6 (2021/06): 1972-92.

Liu, Y., C. Shen, L. Jin, T. He, P. Chen, C. Liu, and H. Chen. "Abcnet V2: Adaptive Bezier-Curve Network for Real-Time End-to-End Text Spotting." 10.1109/TPAMI.2021.3107437. IEEE Transactions on Pattern Analysis and Machine Intelligence  (2021/01): 1-1.

Lu, W., D. Gong, K. Fu, X. Sun, W. Diao, and L. Liu. "Boundarymix: Generating Pseudo-Training Images for Improving Segmentation with Scribble Annotations." 10.1016/j.patcog.2021.107924. Pattern Recognition 117, no. ARTN 107924 (2021/09).

Luo, C., Q. Lin, Y. Liu, L. Jin, and C. Shen. "Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild." 10.1007/s11263-020-01411-1. International Journal of Computer Vision 129, no. 4 (2021/04): 960-76.

Luong, C., Z. Liao, A. Abdi, H. Girgis, R. Rohling, K. Gin, J. Jue, et al. "Automated Estimation of Echocardiogram Image Quality in Hospitalized Patients." 10.1007/s10554-020-01981-8. International Journal of Cardiovascular Imaging 37, no. 1 (2021): 229-39.

MacDonald, L. E. "Hierarchies of Holonomy Groupoids for Foliated Bundles." 10.1007/s10455-021-09792-3. Annals of Global Analysis and Geometry  (2021/01).

MacDonald, L. E. "The Holonomy Groupoids of Singularly Foliated Bundles." 10.3842/sigma.2021.043. Symmetry, Integrability and Geometry: Methods and Applications 17, no. ARTN 043 (2021): 043-1-43-34.

Macdonald, L., V. Mathai, and H. Saratchandran. "On the Chern Character in Higher Twisted K-Theory and Spherical T-Duality." 10.1007/s00220-021-04096-w. Communications in Mathematical Physics 385, no. 1 (2021): 331-68.

Melazzini, L., C. E. Mackay, V. Bordin, S. Suri, E. Zsoldos, N. Filippini, A. Mahmood, et al. "White Matter Hyperintensities Classified According to Intensity and Spatial Location Reveal Specific Associations with Cognitive Performance." 10.1016/j.nicl.2021.102616. NeuroImage: Clinical 30, no. 102616 (2021): 1-8.

Messina, S., R. Mariano, A. Roca-Fernandez, A. Cavey, M. Jurynczyk, M. I. Leite, M. Calabrese, M. Jenkinson, and J. Palace. "Contrasting the Brain Imaging Features of Mog-Antibody Disease, with Aqp4-Antibody Nmosd and Multiple Sclerosis." 10.1177/13524585211018987. Multiple Sclerosis Journal  (2021/01): 135245852110189-89.

Neshat, M., M. M. Nezhad, E. Abbasnejad, S. Mirjalili, D. Groppi, A. Heydari, L. B. Tjernberg, et al. "Wind Turbine Power Output Prediction Using a New Hybrid Neuro-Evolutionary Method." 10.1016/j.energy.2021.120617. Energy 229, no. 120617 (2021/08): 120617-1-17-24.

Neshat, M., M. M. Nezhad, E. Abbasnejad, S. Mirjalili, L. B. Tjernberg, D. Astiaso Garcia, B. Alexander, and M. Wagner. "A Deep Learning-Based Evolutionary Model for Short-Term Wind Speed Forecasting: A Case Study of the Lillgrund Offshore Wind Farm." 10.1016/j.enconman.2021.114002. Energy Conversion and Management 236, no. 114002 (2021/05): 114002-02.

Nguyen, L. V., C. C. Nguyen, G. Carneiro, H. Ebendorff-Heidepriem, and S. C. Warren-Smith. "Sensing in the Presence of Strong Noise by Deep Learning of Dynamic Multimode Fiber Interference." 10.1364/PRJ.415902. Photonics Research 9, no. 4 (2021): 109-18.

Osborn, E. A., G. J. Ughi, J. W. Verjans, Z. Piao, E. Gerbaud, M. Albaghdadi, H. Khraishah, et al. "Intravascular Molecular-Structural Assessment of Arterial Inflammation in Preclinical Atherosclerosis Progression." 10.1016/j.jcmg.2021.06.017. JACC: Cardiovascular Imaging 14, no. 11 (2021/08): 2265-67.

Paige, E., K. Doyle, L. Jorm, E. Banks, M. P. Hsu, L. Nedkoff, T. Briffa, et al. "A Versatile Big Data Health System for Australia: Driving Improvements in Cardiovascular Health." 10.1016/j.hlc.2021.04.023. Heart Lung and Circulation  (2021/01).

Pang, G., F. Angiulli, M. Cucuringu, and H. Liu. "Guest Editorial: Non-Iid Outlier Detection in Complex Contexts." 10.1109/MIS.2021.3072704. IEEE INTELLIGENT SYSTEMS 36, no. 3 (2021/05): 3-4.

Pang, G., L. Cao, and L. Chen. "Homophily Outlier Detection in Non-Iid Categorical Data." 10.1007/s10618-021-00750-y. Data Mining and Knowledge Discovery 35, no. 4 (2021/07): 1163-224..

Pang, G., C. Shen, L. Cao, and A. V. D. Hengel. "Deep Learning for Anomaly Detection: A Review." 10.1145/3439950. ACM Computing Surveys 54, no. 2 (2021/04/01.

Parra, Á, S. F. Ch'ng, T. J. Chin, A. P. Eriksson, and I. D. Reid. "Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging." CoRR abs/2103.08292 (2021).

Parvaneh, A., E. Abbasnejad, Q. Wu, and J. Shi. "Show, Price and Negotiate: A Hierarchical Attention Recurrent Visual Negotiator." 10.1109/TMM.2021.3065169. IEEE Transactions on Multimedia abs/1905.03721 (2021).

Raman, B., M. P. Cassar, E. M. Tunnicliffe, N. Filippini, L. Griffanti, F. Alfaro-Almagro, T. Okell, et al. "Medium-Term Effects of Sars-Cov-2 Infection on Multiple Vital Organs, Exercise Capacity, Cognition, Quality of Life and Mental Health, Post-Hospital Discharge." 10.1016/j.eclinm.2020.100683. EClinicalMedicine 31, no. 100683 (2021): 1-13.

Santiago, C., C. Barata, M. Sasdelli, G. Carneiro, and J. C. Nascimento. "Low: Training Deep Neural Networks by Learning Optimal Sample Weights." 10.1016/j.patcog.2020.107585. Pattern Recognition 110, no. 107585 (2021): 1-12.

Shevchenko, V., D. Teney, A. R. Dick, and A. V. D. Hengel. "Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge." CoRR abs/2101.06013 (2021).

Sun, W., D. Gong, Q. Shi, A. van den Hengel, and Y. Zhang. "Learning to Zoom-in Via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation." 10.1109/TIP.2021.3049951. IEEE Transactions on Image Processing 30 (2021): 1-1.. 

Sundaresan, V., L. Griffanti, and M. Jenkinson. "Brain Tumour Segmentation Using A triplanar Ensemble of U-Nets on Mr Images." In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 340-53: Springer International Publishing, (2021).

Sundaresan, V., G. Zamboni, N. K. Dinsdale, P. M. Rothwell, L. Griffanti, and M. Jenkinson. "Comparison of Domain Adaptation Techniques for White Matter Hyperintensity Segmentation in Brain Mr Images." 10.1016/j.media.2021.102215. Medical Image Analysis 74, no. ARTN 102215 (2021).

Sundaresan, V., G. Zamboni, P. M. Rothwell, M. Jenkinson, and L. Griffanti. "Triplanar Ensemble U-Net Model for White Matter Hyperintensities Segmentation on Mr Images." 10.1016/j.media.2021.102184. Med Image Anal 73 (2021): 1-17.

Sundaresan, Vaanathi, Giovanna Zamboni, Nicola K. Dinsdale, Peter M. Rothwell, Ludovica Griffanti, and Mark Jenkinson. "Comparison of Domain Adaptation Techniques for White Matter Hyperintensity Segmentation in Brain Mr Images." 10.1101/2021.03.12.435171. (2021).

Tan, M., Z. Hu, Y. Yan, J. Cao, D. Gong, and Q. Wu. "Learning Sparse Pca with Stabilized Admm Method on Stiefel Manifold." 10.1109/TKDE.2019.2935449. IEEE Transactions on Knowledge and Data Engineering 33, no. 3 (2021/03): 1078-88.

Teney, D., E. Abbasnejad, S. Lucey, and A. V. D. Hengel. "Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior Ood Generalization." CoRR abs/2105.05612 (2021).

Tian, L., P. Wang, G. Liang, and C. Shen. "An Adversarial Human Pose Estimation Network Injected with Graph Structure." 10.1016/j.patcog.2021.107863. Pattern Recognition 115, no. 107863 (2021/07): 107863-63.

Tian, Y., G. Pang, Y. Chen, R. Singh, J. W. Verjans, and G. Carneiro. "Weakly-Supervised Video Anomaly Detection with Contrastive Learning of Long and Short-Range Temporal Features." CoRR abs/2101.10030 (2021).

Tian, Y., G. Pang, F. Liu, Y. Chen, S. H. Shin, J. W. Verjans, R. Singh, and G. Carneiro. "Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images." CoRR abs/2103.03423 (2021).

Tian, Y., L. Z. C. T. Pu, Y. Liu, G. Maicas, J. W. Verjans, A. D. Burt, S. H. Shin, R. Singh, and G. Carneiro. "Detecting, Localising and Classifying Polyps from Colonoscopy Videos Using Deep Learning." CoRR abs/2101.03285 (2021).

Torso, M., S. Ahmed, C. Butler, G. Zamboni, M. Jenkinson, and S. Chance. "Cortical Diffusivity Investigation in Posterior Cortical Atrophy and Typical Alzheimer’s Disease." 10.1007/s00415-020-10109-w. Journal of Neurology 268, no. 1 (2021): 227-39.

Torso, M., M. Bozzali, G. Zamboni, M. Jenkinson, and S. A. Chance. "Detection of Alzheimer's Disease Using Cortical Diffusion Tensor Imaging." 10.1002/hbm.25271. Human Brain Mapping 42, no. 4 (2021/03): 967-77.

Torso, M., G. R. Ridgway, M. Jenkinson, and S. Chance. "Intracortical Diffusion Tensor Imaging Signature of Microstructural Changes in Frontotemporal Lobar Degeneration." 10.1186/s13195-021-00914-4. Alzheimer's Research and Therapy 13, no. 1 (2021/12).

Uretsky, S., N. Aggarwal, R. B. van Heeswijk, S. Rajpal, E. Rowin, M. D. Taylor, J. W. Verjans, et al. "Standards for Writing Society for Cardiovascular Magnetic Resonance (Scmr) Endorsed Guidelines, Expert Consensus, and Recommendations: A Report of the Publications Committee." 10.1186/s12968-021-00801-9. Journal of Cardiovascular Magnetic Resonance 23, no. 1 (2021/12).

Wang, B., S. Jin, Q. Yan, H. Xu, C. Luo, L. Wei, W. Zhao, et al. "Ai-Assisted Ct Imaging Analysis for Covid-19 Screening: Building and Deploying a Medical Ai System." 10.1016/j.asoc.2020.106897. Applied Soft Computing 98, no. ARTN 106897 (2021/01).

Wang, D. D., Z. Qian, M. Vukicevic, S. Engelhardt, A. Kheradvar, C. Zhang, S. H. Little, et al. "3d Printing, Computational Modeling, and Artificial Intelligence for Structural Heart Disease." 10.1016/j.jcmg.2019.12.022. JACC. Cardiovascular imaging 14, no. 1 (2021): 41-60.

Wang, H., P. Chen, B. Zhuang, and C. Shen. "Fully Quantized Image Super-Resolution Networks." 10.1145/3474085.3475227. MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia  (2021): 639-47.

Wang, P., H. Li, and C. Shen. "Towards End-to-End Text Spotting in Natural Scenes." IEEE Trans Pattern Anal Mach Intell PP (Jul 9 2021)..

Wang, P., W. Sun, Q. Yan, A. Niu, R. Li, Y. Zhu, J. Sun, and Y. Zhang. "Non-Uniform Motion Deblurring with Blurry Component Divided Guidance." 10.1016/j.patcog.2021.108082. Pattern Recognition 120, no. ARTN 108082 (2021): 1-16.

Wang, W., E. Xie, X. Li, X. Liu, D. Liang, Y. Zhibo, T. Lu, and C. Shen. "Pan++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text." 10.1109/TPAMI.2021.3077555. IEEE Transactions on Pattern Analysis and Machine Intelligence  (2021/01): 1-1.

Wang, Y., Y. Qi, H. Yao, D. Gong, and Q. Wu. "Image Editing with Varying Intensities of Processing." 10.1016/j.cviu.2021.103260. Computer Vision and Image Understanding 211, no. ARTN 103260 (2021/10): 1-13.

Wei, X. S., H. J. Ye, X. Mu, J. Wu, C. Shen, and Z. H. Zhou. "Multi-Instance Learning with Emerging Novel Class." 10.1109/TKDE.2019.2952588. IEEE Transactions on Knowledge and Data Engineering 33, no. 5 (2021): 2109-20.

Xie, Y., J. Zhang, H. Lu, C. Shen, and Y. Xia. "Sesv: Accurate Medical Image Segmentation by Predicting and Correcting Errors." 10.1109/tmi.2020.3025308. IEEE Transactions on Medical Imaging 40, no. 1 (2021): 286-96.

Yan, C., G. Pang, X. Bai, C. Liu, N. Xin, L. Gu, and J. Zhou. "Beyond Triplet Loss: Person Re-Identification with Fine-Grained Difference-Aware Pairwise Loss." 10.1109/TMM.2021.3069562. IEEE Transactions on Multimedia  (2021/01): 1-1.

Yan, Q., B. Wang, D. Gong, C. Luo, W. Zhao, J. Shen, J. Ai, et al. "Covid-19 Chest Ct Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations." 10.1109/TBDATA.2021.3056564. IEEE Transactions on Big Data 7, no. 1 (2021): 13-24.

Yan, Q., B. Wang, L. Zhang, J. Zhang, Z. You, Q. Shi, and Y. Zhang. "Towards Accurate Hdr Imaging with Learning Generator Constraints." 10.1016/j.neucom.2020.11.056. Neurocomputing 428 (2021): 79-91.

Yin, W., Y. Liu, and C. Shen. "Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction." 10.1109/TPAMI.2021.3097396. IEEE Transactions on Pattern Analysis and Machine Intelligence  (2021/01).

Yu, J., X. Jiang, Z. Qin, W. Zhang, Y. Hu, and Q. Wu. "Learning Dual Encoding Model for Adaptive Visual Understanding in Visual Dialogue." 10.1109/TIP.2020.3034494. IEEE TRANSACTIONS ON IMAGE PROCESSING 30 (2021/01): 220-33.

Zhang, J., Y. Xie, G. Pang, Z. Liao, J. Verjans, W. Li, Z. Sun, et al. "Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection." 10.1109/TMI.2020.3040950. IEEE Transactions on Medical Imaging 40, no. 3 (2021): 879-90.

Zhang, J., Y. Xie, Y. Wang, and Y. Xia. "Inter-Slice Context Residual Learning for 3d Medical Image Segmentation." 10.1109/TMI.2020.3034995. IEEE Transactions on Medical Imaging 40, no. 2 (2021/02): 661-72.

Zhang, L., Z. Shi, J. T. Zhou, M. M. Cheng, Y. Liu, J. W. Bian, Z. Zeng, and C. Shen. "Ordered or Orderless: A Revisit for Video Based Person Re-Identification." 10.1109/TPAMI.2020.2976969. IEEE Transactions on Pattern Analysis and Machine Intelligence 43, no. 4 (2021/04): 1460-66. 

Zhang, P., W. Liu, Y. Zeng, Y. Lei, and H. Lu. "Looking for the Detail and Context Devils: High-Resolution Salient Object Detection." 10.1109/TIP.2020.3045624. IEEE Transactions on Image Processing 30 (2021/01): 3204-16.

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Wang C, Lucey S, Perazzi F, Wang O. Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes. In: Proc 2019 International Conference on 3D Vision (3DV), 16-19 Sept. 2019, 2019. pp 348-357.

Wang P, Liu L, Shen C, Shen H. Order-aware convolutional pooling for video based action recognition. Pattern Recognition 2019;91:357-365.

Wang P, Wu Q, Cao J, Shen C, Gao L, Hengel A. Neighbourhood watch: Referring expression comprehension via language-guided graph attention networks. In, 2019/06/01/. pp 1960-1968.

Wang X, Liu S, Shen X, Shen C, Jia J. Associatively segmenting instances and semantics in point clouds. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019;2019-June:4091-4100.

Ward B, Brien C, Oakey H, Pearson A, Negrão S, Schilling R, Taylor J, Jarvis D, Timmins A, Roy S, Tester M, Berger B, Van Den Hengel A. High‐throughput 3D modelling to dissect the genetic control of leaf elongation in barley (Hordeum vulgare). The Plant Journal 2019;98(3):555-570.

Weerasekera C, Garg R, Latif Y, Reid I. Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction. In: Proc Asian Conference on Computer Vision, ACCV 2018 Perth, Australia, Switzerland, 2019. pp 609-624.

Wei X, Wang P, Liu L, Shen C, Wu J. Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories with Few Examples. IEEE Transactions on Image Processing 2019;28(12):6116-6125.

Wei X, Zhang C, Liu L, Shen C, Wu J. Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification. In: Proc Asian Conference on Computer Vision (ACCV) Perth, Australia, Switzerland, 2019. pp 575-591.

Wei X, Zhang C, Wu J, Shen C, Zhou Z. Unsupervised object discovery and co-localization by deep descriptor transformation. Pattern Recognition 2019;88:113-126.

Wu Z, Shen C  van den Hengel A. Wider or Deeper: Revisiting the ResNet Model for Visual Recognition. Pattern Recognition 2019;90:119-133.

Xie F, Zhang L, Gu Q, Chao D, Jaroniec M, Qiao S. Multi-shell hollow structured Sb₂S₃ for sodium-ion batteries with enhanced energy density. Nano Energy 2019;60:591-599.

Xie Y, Lu H, Zhang J, Shen C, Xia Y. Deep segmentation-emendation model for gland instance segmentation. In: Proc Medical Image Computing and Computer-Assisted Intervention (MICCAI) Shenzhen, China. Switzerland, 2019/01/01/. pp 469-477.

Xiong H, Cao Z, Lu H, Madec S, Liu L, Shen C. TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks. Plant Methods 2019;15(1):150-151-150-114.

Xu W, Liu W, Chi H, Qiu S, Jin Y. Self-paced learning with privileged information. Neurocomputing 2019;362:147-155.

Yan C, Pang G, Bai X, Shen C, Zhou J, Hancock E. Deep hashing by discriminating hard examples. In: Proc ACM International Conference on Multimedia (MM) Nice, France. Online, 2019/10/15/. pp 1535-1542.

Yan Q, Gong D  Shi Q, Van Den Hengel A, Shen C, Reid I, Zhang Y. Attention-guided network for ghost-free high dynamic range imaging. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 1751-1760.

Yan Q, Gong D, Zhang P, Shi Q, Sun J, Reid I, Zhang Y. Multi-scale dense networks for deep high dynamic range imaging. In: Proc IEEE Winter Conference on Applications of Computer Vision (WACV) Waikoloa Village, HI, USA, 2019. pp 41-50.

Yan Q, Gong D, Zhang Y. Two-Stream Convolutional Networks for Blind Image Quality Assessment. IEEE Transactions on Image Processing 2019;28(5):2200-2211.

Yan Y, Huang Y, Chen S, Shen C, Wang H. Joint Deep Learning of Facial Expression Synthesis and Recognition. IEEE Transactions on Multimedia 2019.

Yao R, Lin G, Shen C, Zhang Y, Shi Q. Semantics-Aware Visual Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology 2019;29(6):1687-1700.

Yin W, Liu Y, Shen C, Yan Y. Enforcing geometric constraints of virtual normal for depth prediction. Proceedings of the IEEE International Conference on Computer Vision 2019;2019-October:5683-5692.

Zakizadeh R, Qian Y, Sasdelli M, Vazquez E. Instance Retrieval at Fine-Grained Level Using Multi-attribute Recognition. In: Proc 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS Las Palmas de Gran Canaria, Spain. Online, 2019. pp 442-448.

Zhan H, Weerasekera C, Garg R, Reid I. Self-supervised learning for single view depth and surface normal estimation. In: Proc International Conference on Robotics and Automation (ICRA) Montreal, Canada. Online, 2019/05/01/. pp 4811-4817.

Zhang H, Li Y, Jiang Y, Wang P, Shen Q, Shen C. Hyperspectral Classification Based on Lightweight 3-D-CNN with Transfer Learning. IEEE Transactions on Geoscience and Remote Sensing 2019;57(8):5813-5828.

Zhang H, Shen C, Li Y, Cao Y, Liu Y, Yan Y. Exploiting temporal consistency for real-time video depth estimation. Proceedings of the IEEE International Conference on Computer Vision 2019;2019-October:1725-1734.

Zhang J, Wu Q, Zhang J, Shen C, Lu J, Wu Q. Heritage image annotation via collective knowledge. Pattern Recognition 2019;93:204-214.

Zhang J, Wu Q, Zhang J, Shen C, Lu J. Mind your neighbours: Image annotation with metadata neighbourhood graph co-attention networks. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 2951-2959.

Zhang J, Xie Y, Wu Q, Xia Y. Medical image classification using synergic deep learning. Medical Image Analysis 2019;54:10-19.

Zhang J, Xie Y, Xia Y, Shen C. Attention residual learning for skin lesion classification. IEEE Transactions on Medical Imaging 2019;38(9):2092-2103.

Zhang J, Xie Y, Zhang P, Chen H, Xia Y, Shen C. Light-weight hybrid convolutional network for liver tumor segmentation. In: Proc International Joint Conference on Artificial Intelligence (IJCAI) Macao, China. Online, 2019/01/01/. pp 4271-4277.

Zhang L, Wang P, Wei W, Lu H, Shen C, van den Hengel A, Zhang Y. Unsupervised domain adaptation using robust class-wise matching. IEEE Transactions on Circuits and Systems for Video Technology 2019;29(5):1339-1349.

Zhang L, Wei W, Shi Q, Shen C, van den Hengel A, Zhang Y. Accurate Tensor Completion via Adaptive Low-Rank Representation. IEEE transactions on neural networks and learning systems 2019.

Zhang L, Wei W, Shi Q, Shen C, van den Hengel A, Zhang Y. Accurate imagery recovery using a multi-observation patch model. Information Sciences 2019;501:724-741.

Zhang P, Liu W, Lei Y, Lu H. Hyperfusion-Net: Hyper-densely reflective feature fusion for salient object detection. Pattern Recognition 2019;93:521-533.

Zhang P, Liu W, Lu H, Shen C. Salient object detection with lossless feature reflection and weighted structural loss. IEEE Transactions on Image Processing 2019;28(6):3048-3060.

Zhang P, Liu W, Wang H, Lei Y, Lu H. Deep gated attention networks for large-scale street-level scene segmentation. Pattern Recognition 2019;88:702-714.

Zhang T, Ji P, Harandi M, Hartley R, Reid I. Scalable deep k-subspace clustering. In: Proc Asian Conference on Computer Vision (ACCV) Perth, Australia, Switzerland, 2019. pp 466-481.

Zhang T, Lin G, Cai J, Shen T, Shen C, Kot A. Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation. IEEE Transactions on Multimedia 2019;21(11):2930-2941.

Zhang X, Cao J, Shen C, You M. Self-training with progressive augmentation for unsupervised cross-domain person re-identification. Proceedings of the IEEE International Conference on Computer Vision 2019;2019-October:8221-8230.

Zhuang B, Shen C, Tan M, Liu L, Reid I. Structured binary neural networks for accurate image classification and semantic segmentation. In: Proc IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, USA. Online, 2019/06/01/. pp 413-422.

Abbasnejad ME, Dick AR, Shi QR, van den Hengel A, Active learning from noisy tagged images. BMVC Workshop, 2018.

Abbasnejad E, Wu Q, Abbasnejad I, Shi J, van den Hengel A. An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks. CoRR 2018;abs/1812.06398.

Abbasnejad E, Wu Q, Shi J, van den Hengel A. What’s to know? Uncertainty as a Guide to Asking Goal-oriented Questions. CoRR 2018;abs/1812.06401.

Abdi M, Lim CP, Mohamed SMK, Nahavandi S, Abbasnejad E, van den Hengel A. Discriminative Clustering of High-Dimensional Data Using Generative Modeling. 2018. p 799-802.

Alfaro-Almagro F, Jenkinson M, Bangerter NK, Andersson JLR, Griffanti L, Douaud G, Sotiropoulos SN, Jbabdi S, Hernandez- Fernandez M, Vallee E, Vidaurre D, Webster M, McCarthy P, Rorden C, Daducci A, Alexander DC, Zhang H, Dragonu I, Matthews PM, Miller KL, Smith SM. Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank. Neuroimage 2018;166:400-424.

Anderson P, Wu Q, Teney D, Bruce J, Johnson M, Sünderhauf N, Reid ID, Gould S, van den Hengel A. Vision-and Language Navigation: Interpreting Visually- Grounded Navigation Instructions in Real Environments. 2018. p 3674-3683.

Ansdell M, Ioannou Y, Osborn H, Sasdelli M, Smith J, Caldwell D, Jenkins J, Räissi C, Angerhausen D. Scientific Domain Knowledge Improves Exoplanet Transit Classification with Deep Learning. Astrophysical Journal Letters 2018;869(1).

Battaglini M, Jenkinson M, De Stefano N, Neuroimaging AsD. SIENA-XL for Improving the Assessment of Gray and White Matter Volume Changes on Brain MRI. Human Brain Mapping 2018;39(3):1063-1077.

Bay A, Sidiropoulos P, Vazquez E, Sasdelli M. Hide and Seek tracker: Real- time recovery from target loss. CoRR 2018;abs/1806.07844.

Bozek J, Makropoulos A, Schuh A, Fitzgibbon S, Wright R, Glasser MF, Coalson TS, O’Muircheartaigh J, Hutter J, Price AN, Cordero-Grande L, Teixeira RPAG, Hughes E, Tusor N, Baruteau KP, Rutherford MA, Edwards AD, Hajnal JV, Smith SM, Rueckert D, Jenkinson M, Robinson EC. Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project. Neuroimage 2018;179:11-29.

Bustos A, Chin T. Guaranteed Outlier Removal for Point Cloud Registration with Correspondences. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018;40(12):2868-2882.

Cao Y, Wu Z, Shen C. Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks. IEEE Transactions on Circuits and Systems for Video Technology 2018;28(11):3174-3182.

Cao Y, Zhao T, Xian K, Shen C, Cao Z, Xu S. Monocular Depth Estimation with Augmented Ordinal Depth Relationships. IEEE Transactions on Image Processing 2018.

Carneiro G, Tavares J, Bradley A, Papa J, Belagiannis V, Nascimento J, Lu Z, Conjeti S. DLMIA 2018 Preface. In:

Stoyanov D, Taylor Z, Carneiro G, Syeda- Mahmood T, editors. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018 and 8th International Workshop, ML-CDS 2018 Held in Conjunction with MICCAI 2018 Granada, Spain, September 20, 2018 Proceedings; 2018. p VII-VII.

Carneiro G, Tavares J, Bradley A, Papa J, Nascimento J, Cardoso J, Lu Z, Belagiannis V. 1st MICCAI workshop on deep learning in medical image analysis. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization 2018;6(3):241-242.

Chance SA, Torso M, Jenkinson M. Cortical Disarray Measurement Using Diffusion Mri Correlates with Braak Staging and Improves Amyloid Pet Prediction of Ad Progression. Alzheimer’s & dementia : the journal of the Alzheimer’s Association 2018;14(7):P1245.

Chen B, Ting KM. Neighbourhood Contrast: A Better Means to Detect Clusters Than Density. Advances in Knowledge Discovery and Data Mining; 2018. p 401-412.

Chen B, Ting KM, Washio T, Zhu Y. Local contrast as an effective means to robust clustering against varying densities. Machine Learning 2018;107(8-10):1621-1645.

Chojnacki W, Szpak ZL. Determining ellipses from low resolution images with a comprehensive image formation model. CoRR 2018;abs/1807.06814.

Chojnacki W, Szpak ZL. Full explicit consistency constraints in uncalibrated multiple homography estimation. CoRR 2018;abs/1805.02352.

Connally EL, Ward D, Pliatsikas C, Finnegan S, Jenkinson M, Boyles R, Watkins KE. Separation of trait and state in stuttering. Human Brain Mapping 2018;39(8): 3109-3126.

Do T, Cheung N. Embedding based on function approximation for large scale image search. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018;40(3):626-638.

Gale W, Oakden-Rayner L, Carneiro G, Bradley AP, Palmer LJ. Producing radiologist-quality reports for interpretable artificial intelligence. CoRR 2018;abs/1806.00340.

Gong D, Tan M, Shi Q, van den Hengel A, Zhang Y. MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution. CoRR 2018;abs/1810.05438.

Gong D, Zhang Z, Shi Q, van den Hengel A, Shen C, Zhang Y. Learning an Optimizer for Image Deconvolution. CoRR 2018;abs/1804.03368.

Griffanti L, Jenkinson M, Suri S, Zsoldos E, Mahmood A, Filippini N, Sexton CE, Topiwala A, Allan C, Kivimaki M, Singh-Manoux A, Ebnaeier KP, Mackay CE, Zamboni G. Classification and characterization of periventricular and deep white matter hyperintensities on MRI: A study in older adults. Neuroimage 2018;170:174-181.

Guo G, Wang H, Shen C,Yan Y, Liao H. Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression. IEEE Transactions on Multimedia 2018;20(8):2073-2085.

Harston GWJ, Carone D, Sheerin F, Jenkinson M, Kennedy J. Quantifying Infarct Growth and Secondary Injury Volumes: Comparing Multimodal Image Registration Measures. Stroke 2018;49(7):1647-1655.

Hodgson J, Mott R, Baylis S, Pham T, Wotherspoon S, Kilpatrick A, Raja Segaran R, Reid I, Terauds A, Koh L. Drones count wildlife more accurately and precisely than humans. Methods in Ecology and Evolution 2018;9(5):1160-1167.

Hu Q, Wang P, Shen C, van den Hengel A, Porikli F. Pushing the Limits of Deep CNNs for Pedestrian Detection. IEEE Trans Circuits Syst Video Techn 2018;28(6): 1358-1368.

Li H, Wang P, Shen C. Toward End-to-End Car License Plate Detection and Recognition With Deep Neural Networks. IEEE Transactions on Intelligent Transportation Systems 2018.

Li H, Wang P, Shen C, van den Hengel A. Visual Question Answering as Reading Comprehension. CoRR 2018;abs/1811.11903.

Li H, Wang P,You M, Shen C. Reading car license plates using deep neural networks. Image and Vision Computing 2018;72(C):14-23.

Li X, Zhao L, Ji W, Wu Y, Wu F,Yang M, Tao D, Reid I. Multi-task structure-aware context modeling for robust keypoint-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018;OnlinePubl:1-13.

Liao Z, Drummond T, Reid I, Carneiro G. Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018.

Lin G, Shen C, van den Hengel A, Reid ID. Exploring Context with Deep Structured Models for Semantic Segmentation. IEEE Trans Pattern Anal Mach Intell 2018;40(6):1352-1366.

Liu F, Lin G, Qiao R, Shen C. Structured Learning of Tree Potentials in CRF for Image Segmentation. IEEE Transactions on Neural Networks and Learning Systems 2018;29(6):2631-2637.

Liu H, Ji R, Wang J, Shen C. Ordinal Constraint Binary Coding for Approximate Nearest Neighbor Search. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018:1-1.

Liu W, Zhang P, Chen X; Shen C; Huang X, Yang J. Embedding Bilateral Filter in Least Squares for Efficient Edge-preserving Image Smoothing. IEEE Transactions on Circuits and Systems for Video Technology 2018.

Lu H, Shen C, Cao Z, Xiao Y, Van Den Hengel A. An embarrassingly simple approach to visual domain adaptation. IEEE Transactions on Image Processing 2018;27(7):3403-3417.

Ma C, Shen C, Dick AR, Wu Q, Wang P, van den Hengel A, Reid ID. Visual Question Answering With Memory-Augmented Networks. 2018. p 6975-6984.

Makropoulos A, Robinson EC, Schuh A, Wright R, Fitzgibbon S, Bozek J, Counsell SJ, Steinweg J, Vecchiato K, Passerat- Palmbach J, Lenz G, Mortari F, Tenev T, Duff EP, Bastiani M, Cordero-Grande L, Hughes E, Tusor N, Tournier JD, Hutter J, Price AN, Teixeira RPAG, Murgasova M, Victor S, Kelly C, Rutherford MA, Smith SM, Edwards AD, Hajnal JV, Jenkinson M, Rueckert D. The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction. Neuroimage 2018;173:88-112.

Nekrasov V, Dharmasiri T, Spek A, Drummond T, Shen C, Reid ID. Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations. CoRR 2018;abs/1809.04766.

Nekrasov V, Shen C, Reid ID. Diagnostics in Semantic Segmentation. CoRR 2018;abs/1809.10328.

Nguyen D, Vu N, Do T, Nguyen T, Yearwood J. Improving Chamfer template matching using image segmentation. IEEE Signal Processing Letters 2018;25(11):1635-1639.

Page A, Li H. Meal-sensing signaling pathways in functional dyspepsia. Frontiers in Systems Neuroscience 2018;12(ARTN 10).

Pallebage-Gamarallage M, Foxley S, Menke RAL, Huszar IN, Jenkinson M, Tendler BC, Wang CY, Jbabdi S, Turner MR, Miller KL,

Ansorge O. Dissecting  the  pathobiology of altered MRI signal in amyotrophic lateral sclerosis: A post mortem whole brain sampling strategy for the integration of ultra-high-field MRI and quantitativeneuropathology. Bmc Neuroscience 2018;19.

Robinson EC, Garcia K, Glasser MF, Chen ZD, Coalson TS, Makropoulos A, BozekJ, Wright R, Schuh A, Webster M, Hutter J, Price A, Grande LC, Hughes E, Tusor N, Bayly PV, Van Essen DC, Smith SM,

Edwards AD, Hajnal J, Jenkinson M, Glocker B, Rueckert D. Multimodal surface matching with higher-order smoothness constraints. Neuroimage 2018;167:453-465

Saillant A, Platsch G, Shah V, Zuehlsdorff S, Jenkinson M, Chappell M. Reliability of myocardial blood flow estimates in abnormal scans. Journal of Nuclear Medicine 2018;59.

Schmid AB, Campbell J, Hurley SA, Jbabdi S, Andersson JL, Jenkinson M, Bangerter NK, Bennett DL, Tracey I, Frost R, Clare S. Feasibility of Diffusion Tensor and Morphologic Imaging of Peripheral Nerves at Ultra-High Field Strength. Investigative Radiology 2018;53(12):705-713.

Sheng B, Shen C, Lin G, Li J, Yang W, Sun C. Crowd counting via weighted VLAD on a dense attribute feature map. IEEE Transactions on Circuits and Systems for Video Technology 2018;28(8):1788-1797.

Snaauw G, Gong D, Maicas G, van den Hengel A, Niessen WJ, Verjans J, Carneiro G. End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging. CoRR 2018;abs/1810.10117.

Teney D, Anderson P, He X, van den Hengel A. Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge. 2018. p 4223-4232.

Teney D, van den Hengel A. Visual Question Answering as a Meta Learning Task. ECCV 2018. p 229-245.

Wang L. Image and Sentence Matching via Semantic Concepts and Order Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018.

Wang P, Wu Q, Cao J, Shen C, Gao L, van den Hengel A. Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks. CoRR 2018;abs/1812.04794.

Wang P, Wu Q, Shen C, Dick AR, van den Hengel A. FVQA: Fact-Based Visual Question Answering. IEEE Trans Pattern Anal Mach Intell 2018;40(10):2413-2427.

Wang X, Gao L, Wang P, Sun X, Liu X. Two-stream 3-D convNet Fusion for action recognition in videos with arbitrary size and length. IEEE Transactions on Multimedia 2018;20(3):634-644.

Wei X, Xie C, Wu J, Shen C. Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization. Pattern Recognition 2018;76(C):704-714.

Williamson W, Lewandowski AJ, Forkert ND, Griffanti L, Okell TW, Betts J, Boardman H, Siepmann T, McKean D, Huckstep O, Francis JM, Neubauer S, Phellan R, Jenkinson M, Doherty A, Dawes H, Frangou E, Malamateniou C, Foster C, Leeson P. Association of Cardiovascular Risk Factors With MRI Indices of Cerebrovascular Structure and Function and White Matter Hyperintensities in Young Adults. Jama- Journal of the American Medical Association 2018;320(7):665-673.

Williamson W, Lewandowski AJ, Huckstep O, Visser E, Betts B, Jenkinson M, Dawes  H, Foster C, Leeson  P. Thalamic Volume  is a Predictor of Cardiac Function at Rest and During Exercise in Young Adults. Circulation: journal of the American Heart Association 2018;138(Suppl_1):A16361.

Wu Q, Shen C, Wang P, Dick A, van den Hengel A. Image captioning and visual question answering based on attributes and external knowledge. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018;40(6):1367-1381.

Wu Q, Wang P, Shen C, Reid ID, van den Hengel A. Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning. 2018. p 6106-6115.

Xu W, Liu W, Huang X,Yang J, Qiu S. Multi-modal self-paced learning for image classification. Neurocomputing 2018;309(C):134-144.

Yao R, Lin G, Shen C, Zhang Y, Shi Q. Semantics-Aware Visual Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology 2018;Online:1-14.

Yao R, Lin G, Shi Q, Ranasinghe D. Efficient dense labelling of human activity sequences from wearables using fully convolutional networks. Pattern Recognition 2018;78(C):252-266.

You M, Zhang Y, Shen C, Zhang X. An Extended Filtered Channel Framework for Pedestrian Detection. IEEE Transactions on Intelligent Transportation Systems 2018;19(5):1640-1651.

Zakizadeh R, Sasdelli M, Qian Y, Vazquez E. FineTag: Multi-label Retrieval of Attributes at Fine-grained Level in Images. CoRR 2018;abs/1806.07124.

Zakizadeh R, Sasdelli M, Qian Y, Vazquez E. Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition. CoRR 2018;abs/1807.11674.

Zhang J, Wu Q, Shen C, Zhang J, Lu J. Multilabel Image Classification with Regional Latent Semantic Dependencies. IEEE Transactions on Multimedia 2018;20(10):2801-2813.

Zhang J, Wu Q, Shen C, Zhang J, Lu J, van den Hengel A, Goal-oriented visual question generation via intermediate rewards, ECCV 2018.

Zhang L, Wang P, Liu L, Shen C, Wei W, Zhang Y, van den Hengel A. Towards Effective Deep Embedding for Zero-Shot Learning. CoRR 2018;abs/1808.10075.

Zhang L, Wang P, Shen C, Liu L, Wei W, Zhang Y, van den Hengel A. Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network. CoRR 2018;abs/1806.01576.

Zhang L, Wang P, Wei W, Lu H, Shen C, van den Hengel A, Zhang Y. Unsupervised domain adaptation using robust class- wise matching. IEEE Transactions on Circuits and Systems for Video Technology 2018;OnlinePubl:1-12.

Zhang L, Wei W, Zhang Y, Shen C, van den Hengel A, Shi Q. Cluster Sparsity Field: An Internal Hyperspectral Imagery Prior for Reconstruction. International Journal of Computer Vision 2018;126(8):797-821.

Zhou X, Liu Z, Gong C, Liu W. Improving video saliency detection via localized estimation and spatiotemporal refinement. IEEE Transactions on Multimedia 2018;20(11):2993-3007.

Zhuang B, Wu Q, Shen C, Reid ID, van den Hengel A. HCVRD: A Benchmark for Large- Scale Human-Centered Visual Relationship Detection. 2018. p 7631-7638.

Zhuang B, Wu Q, Shen C, Reid ID, van den Hengel A. Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries. 2018. p 4252-4261.

Zhuang N,Yan Y, Chen S, Wang H, Shen C. Multi-label learning based deep transfer neural network for facial attribute classification. Pattern Recognition 2018;80(C):225-240.

Zsoldos E, Filippini N, Mahmood A, Mackay CE, Singh-Manoux A, Kivimaki M, Jenkinson M, Ebmeier KP. Allostatic load as a predictor of grey matter volume and white matter integrity in old age: The Whitehall II MRI study. Scientific Reports 2018;8.

Zulqarnain Gilani S, Mian A, Shafait F, Reid I. Dense 3D Face Correspondence. IEEE Transactions on Pattern Analysis and Machine Intelligence 2018;40(7):1584-1598

Abbasnejad I, Sridharan S, Nguyen D, Denman S, Fookes C, Lucey S. Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks. In: Proc 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 22-29 Oct. 2017, 2017. pp 1609-1618.

Abbasnejad M, Dick A, van den Hengel A. Infinite variational autoencoder for semi-supervised learning. In: Proc 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Honolulu, 2017. pp 781-790.

Abbasnejad M, Shi Q, Abbasnejad I, Hengel A, Dick A. Bayesian Conditional Generative Adverserial Networks. CoRR 2017;abs/1706.05477.

Alismail H, Kaess M, Browning B, Lucey S. Direct Visual Odometry in Low Light Using Binary Descriptors. IEEE Robotics and Automation Letters 2017;2(2):444-451.

Anderson P, He X, Buehler C, Teney D, Johnson M, Gould S, Zhang L. Bottom-Up and Top-Down Attention for Image Captioning and VQA. CoRR 2017;abs/1707.07998.

Ball D, Upcroft B, van Henten E, van den Hengel A, Tokekar P, Das J. JFR Special Issue on Agricultural Robotics. Journal of Field Robotics 2017;34(6):1037-1038.

Cao Y, Shen C, Shen H. Exploiting depth from single monocular images for object detection and semantic segmentation. IEEE Transactions on Image Processing 2017;26(2):836-846.

Carneiro G, Nascimento J, Bradley A. Automated analysis of unregistered multi-view mammograms with deep learning. IEEE Transactions on Medical Imaging 2017;36(11):2355-2365.

Carneiro G, Nascimento J, Bradley A. Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions. In: Zhou S, Greenspan H, Shen D, editors. Deep Learning for Medical Image Analysis. London: Elsevier; 2017.  p 321-339.

Carneiro G, Oakden-Rayner L, Bradley A, Nascimento J, Palmer L. Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. In: Proc IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) Melbourne, AUSTRALIA. Online, 2017. pp 130-134.

Carneiro G, Oakden-Rayner L, Bradley AP, Nascimento JC, Palmer LJ. Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. IEEE; 2017.  p 130-134.

Carneiro G, Peng T, Bayer C, Navab N. Automatic quantification of tumour hypoxia from multi-modal microscopy images using weakly-supervised learning methods. IEEE Transactions on Medical Imaging 2017;36(7):1405-1417.

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Carneiro G, Zheng Y, Xing F, Yang L. Review of deep learning methods in mammography, cardiovascular, and microscopy image analysis. In: Lu L, Zheng Y, Carneiro G, Yang L, editors. Deep Learning and Convolutional Neural Networks for Medical Image Computing: precision medicine, high performance and large-scale datasets. Switzerland: Springer; 2017.  p 11-32.

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Chen Z, Jacobson A, Sunderhauf N, Upcroft B, Liu L, Shen C, Reid I, Milford M. Deep Learning Features at Scale for Visual Place Recognition. In: Proc IEEE International Conference on Robotics and Automation, ICRA 2017 Marina Bay Sands, Singapore. Online, 2017. pp 3223-3230.

Cheng LZTP, Campbell B, Carneiro G, Burt AD, Singh R. Computer-aided diagnosis (CAD) for characterising colorectal lesions: Initial results of a newly developed software. WILEY; 2017.  p 251-251.

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Dhungel N, Carneiro G, Bradley A. A deep learning approach for the analysis of masses in mammograms with minimal user intervention. Medical Image Analysis 2017;37(C):114-128.

Dhungel N, Carneiro G, Bradley A. Combining deep learning and structured prediction for segmenting masses in mammograms. In: Lu L, Zheng Y, Carneiro G, Yang L, editors. Deep Learning and Convolutional Neural Networks for Medical Image Computing: precision medicine, high performance and large-scale datasets. Switzerland: Springer; 2017.  p 225-240.

Dhungel N, Carneiro G, Bradley A. Fully automated classification of mammograms using deep residual neural networks. In: Proc IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) Melbourne, AUSTRALIA. Online, 2017. pp 310-314.

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Gale W, Oakden-Rayner L, Carneiro G, Bradley AP, Palmer LJ. Detecting hip fractures with radiologist-level performance using deep neural networks. CoRR 2017;abs/1711.06504.

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Khosravian A, Chin T, Reid I, Mahony R. A discrete-time attitude observer on SO(3) for vision and GPS fusion. In: Proc IEEE International Conference on Robotics and Automation (ICRA2017) Singapore, 2017. pp 5688-5695.

Khosravian A, Chin T, Reid I. A branch-and-bound algorithm for checkerboard extraction in camera-laser calibration. In: Proc IEEE International Conference on Robotics and Automation (ICRA 2017) Singapore, 2017. pp 6495-6502.

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Latif Y, Huang G, Leonard J, Neira J. Sparse optimization for robust and efficient loop closing. Robotics and Autonomous Systems 2017;93(C):13-26.

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Li Y, Li W, Shen C. Removal of optically thick clouds from high-resolution satellite imagery using dictionary group learning and interdictionary nonlocal joint sparse coding. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2017;10(5):1870-1882.

Li Y, Lin G, Zhuang B, Liu L, Shen C, van den Hengel A. Sequential person recognition in photo albums with a recurrent network. In: Proc 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Honolulu, Hawaii. Online, 2017. pp 5660-5668.

Li Y, Liu L, Shen C, Hengel A. Mining Mid-level Visual Patterns with Deep CNN Activations. International Journal of Computer Vision 2017;121(3):344-364.

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Liu W, Chen X, Yang J, Wu Q. Robust color guided depth map restoration. IEEE Transactions on Image Processing 2017;26(1):315-327.

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Lu Z, Carneiro G, Bradley A, Ushizima D, Nosrati M, Bianchi A, Carneiro C, Hamarneh G. Evaluation of three algorithms for the segmentation of overlapping cervical cells. IEEE Journal of Biomedical and Health Informatics 2017;21(2):441-450.

Maicas G, Carneiro G, Bradley A, Nascimento J, Reid I. Deep reinforcement learning for active breast lesion detection from DCE-MRI. In: Proc International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) Quebec City, Canada, 2017. pp 665-673.

Maicas G, Carneiro G, Bradley A. Globally optimal breast mass segmentation from DCE-MRI using deep semantic segmentation as shape prior. In: Proc IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) Melbourne, AUSTRALIA. Online, 2017. pp 305-309.

Marker R, Chin T, Newsam G. Efficient geometric matching with polar bounds for aligning star field images. In: Proc Australasian Conference on Robotics and Automation (ACRA-2016) Brisbane, QLD, 2017. pp 185-193.

McMahon S, Shen T, Sünderhauf N, Reid I, Shen C, Milford M. Auxiliary tasks to improve trip hazard affordance detection on construction sites. In: Proc Australasian Conference on Robotics and Automation, ACRA 2017 Sydney, Australia. Online, 2017/01/01/. pp 124-132.

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Ngo T, Lu Z, Carneiro G. Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance. Medical Image Analysis 2017;35(C):159-171.

Oakden-Rayner L, Carneiro G, Bessen T, Nascimento J, Bradley A, Palmer L. Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework. Scientific Reports 2017;7(1).

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Pu L, Campbell B, Carneiro G, Burt A, Singh R. Computer-aided diagnosis (CAD) for characterizing colorectal lesions: Initial results of newly developed software. In, 2017/08/01/. pp 34-35.

Purkait P, Chin T, Sadri A, Suter D. Clustering with Hypergraphs: The Case for Large Hyperedges. IEEE Transactions on Pattern Analysis and Machine Intelligence 2017;39(9):1697-1711.

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Qiao R, Liu L, Shen C, van den Hengel A. Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition. Pattern Recognition 2017;66(C):202-212.

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Ribeiro D, Carneiro G, Nascimento J, Bernardino A. Multi-channel convolutional neural network ensemble for pedestrian detection. In: Proc 8th Iberian Conference on Pattern Recognition and Image Analysis Faro, Portugal, 2017/01/01/. pp 122-130.

Ribeiro D, Nascimento J, Bernardino A, Carneiro G. Improving the performance of pedestrian detectors using convolutional learning. Pattern Recognition 2017;61(C):641-649.

Sasdelli M, Hillebrandt W, Kromer M, Ishida E, Röpke F, Sim S, Pakmor R, Seitenzahl I, Fink M. A metric space for type Ia supernova spectra: A new method to assess explosion scenarios. Monthly Notices of the Royal Astronomical Society 2017;464(4):3784-3809.

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Shinmoto Torres R, Shi Q, van den Hengel A, Ranasinghe D. A hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older people. Pervasive and Mobile Computing 2017;40(C):1-16.

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